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Sono-modified halloysite nanotube with NaAlO2 as novel heterogeneous catalyst for biodiesel production: Optimization via GA_BP neural network

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  • Ning, Yilin
  • Niu, Shengli
  • Wang, Yongzheng
  • Zhao, Jianli
  • Lu, Chunmei

Abstract

This work reported the one-pot synthesis of the promising, cheap and green heterogeneous nanocatalyst for biodiesel production. The halloysite nanotube (HNT) was impregnated with 40 wt% NaAlO2 (SA) and the assistance of ultrasonic helped to achieve a better and more stable modification. The resulting 0.4SA/HNTs-UI catalyst was applied in catalyzing the transesterification of palm oil with methanol, using a GA_BP neural network to train and predict the optimal values of reaction parameters. The test results proved the prediction accuracy of the model with R2 = 0.989. The catalyst possessed excellent performance, and the maximum biodiesel yield of 99.15% was achieved with the catalyst loaded amount of 8.82 wt%, methanol to oil molar ratio of 16.79 and transesterification temperature of 65.12 °C. Besides, the physicochemical properties of the purified transesterification product were in accordance with the ASTM D 6751 standard of biodiesel.

Suggested Citation

  • Ning, Yilin & Niu, Shengli & Wang, Yongzheng & Zhao, Jianli & Lu, Chunmei, 2021. "Sono-modified halloysite nanotube with NaAlO2 as novel heterogeneous catalyst for biodiesel production: Optimization via GA_BP neural network," Renewable Energy, Elsevier, vol. 175(C), pages 391-404.
  • Handle: RePEc:eee:renene:v:175:y:2021:i:c:p:391-404
    DOI: 10.1016/j.renene.2021.04.135
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    References listed on IDEAS

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    2. Maleki, Basir & Esmaeili, Hossein, 2023. "Ultrasound-assisted conversion of waste frying oil into biodiesel using Al-doped ZnO nanocatalyst: Box-Behnken design-based optimization," Renewable Energy, Elsevier, vol. 209(C), pages 10-26.
    3. Maleki, Basir & Ashraf Talesh, S. Siamak, 2022. "Optimization of ZnO incorporation to αFe2O3 nanoparticles as an efficient catalyst for biodiesel production in a sonoreactor: Application on the CI engine," Renewable Energy, Elsevier, vol. 182(C), pages 43-59.
    4. Wang, Xiao-Man & Zeng, Ya-Nan & Wang, Yu-Ran & Wang, Fu-Ping & Wang, Yi-Tong & Li, Jun-Guo & Ji, Rui & Kang, Le-Le & Yu, Qing & Liu, Tian-Ji & Fang, Zhen, 2023. "A novel strategy for efficient biodiesel production: Optimization, prediction, and mechanism," Renewable Energy, Elsevier, vol. 207(C), pages 385-397.
    5. Sun, Chihe & Hu, Yun & Sun, Fubao & Sun, Yahui & Song, Guojie & Chang, Haixing & Lunprom, Siriporn, 2022. "Comparison of biodiesel production using a novel porous Zn/Al/Co complex oxide prepared from different methods: Physicochemical properties, reaction kinetic and thermodynamic studies," Renewable Energy, Elsevier, vol. 181(C), pages 1419-1430.

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